datakindblr - meetupfiles.meetup.com/16412292/datakindblr introduction.pdf · we demystify data...

DataKindBLR

These areRevolutionaryTimesAlmost every interaction between ourselves and our world now takes place with a digital interface, creating unprecedented amounts of data that can teach us about our world in new ways.

However...data scientists with theskills to leverage theunprecedented explosionof data from every cornerof the globe are rare andin great demand fromthe business and financesectors.

Meanwhile...nonprofits and other mission-driven organizations havesubject matter expertiseto address large societalproblems but often don’thave the ability or resourcesto harness this newopportunity.

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brings organizations dedicated to solving the world’s biggest challenges together with expert pro bono data scientists to improve the quality of, access to and understanding of data in the social sector.

DataKind

24DataKind tackles humanity’s biggest problems through data science

Jake PorwayJake, Founder and Executive Director, is a machine learningand technology enthusiast who loves nothing more than seeinggood values in data. He founded DataKind™ in the hopes ofcreating a world in which every social organization has accessto data capacity to better serve humanity.

Host, “Numbers Game,” on

national Geographic

Contributor to HBR

MS, PhD, Statistics, UCLA

PopTech Social Innovation

Fellow

Former data scientist at the

NYTimes R&D lab

BS, Computer Science,

Columbia University

Currently Accepting

Applications!

Chapters

volunteer-led, community hubs for data scientists and social organizations dedicated to doing good with data.

Chapters are located in Bangalore, Dublin, San Francisco, Singapore, Washington DC and the United Kingdom.

DataKind tackles humanity’s biggest problems through data science

DataKind by the Numbers


Helped the World Bank create proxy poverty measures through commodity price data scraping

Developed a government data visualization interface for child well being advocates for the DC Action for Children

Analyzed vaccine temperature data to preserve vaccines with Nexleaf

Used satellite imagery to identify and target aid in rural Africa for Give Directly

Projects


Core Programs

Data Divesbring the data science community together with

mission-driven organizations to collaborate on data solutions

to tough problems over the course of a weekend

Project Acceleratorsbring the data science community together with

mission-driven organizations in brainstorming sessions to take

the first steps towards a successful data science project

The DataCorpsa specialized team of pro bono data scientists who

work on 6-9 month in-depth projects for mission-driven

organizations including, governments, foundations, and nonprofits.


Press

“This marks a really big step forward,” Jake Porway, DataKind’s founder and executive director, said in an interview with VentureBeat. “Now let’s create these other hubs that can keep this data-for-good effort moving.”

In April 2014, DataKind put out a call for applications for data scientists who wanted to form local chapters. Almost 100 people from more than 60 cities responded … The result: a total of six chapters across three continents.DataKind tackles humanity’s biggest problems through data science

Advisors

DataKindBLRCase Studies

1 Alabama Male 2009 Percent 0.512 Alabama Female 2009 Percent 0.493 Alabama Total less than 18 2009 Percent 1.004 Alaska Male 2009 Percent 0.525 Alaska Female 2009 Percent 0.486 Alaska Total less than 18 2009 Percent 1.007 Arizona Male 2009 Percent 0.518 Arizona Female 2009 Percent 0.499 Arizona Total less than 18 2009 Percent 1.0010 Arkansas Male 2009 Percent 0.5111 Arkansas Female 2009 Percent 0.4912 Arkansas Total less than 18 2009 Percent 1.0013 California Male 2009 Percent 0.5114 California Female 2009 Percent 0.4915 California Total less than 18 2009 Percent 1.0016 Colorado Male 2009 Percent 0.5117 Colorado Female 2009 Percent 0.4918 Colorado Total less than 18 2009 Percent 1.0019 Connecticut Male 2009 Percent 0.5120 Connecticut Female 2009 Percent 0.4921 Connecticut Total less than 18 2009 Percent 1.0022 Delaware Male 2009 Percent 0.5123 Delaware Female 2009 Percent 0.4924 Delaware Total less than 18 2009 Percent 1.0025 District of Columbia Male 2009 Percent 0.5126 District of Columbia Female 2009 Percent 0.4927 District of Columbia Total less than 18 2009 Percent 1.0028 Florida Male 2009 Percent 0.5129 Florida Female 2009 Percent 0.4930 Florida Total less than 18 2009 Percent 1.00

TABLES & TABLES OF INFORMATION

Sisi Wei

Emily Chow

Max Richman

Nick McClellan

+ other pro bono data scientists

Data Scientists in DC collaborated..

REDUCING

TREE HAZAR

DS

Improve Block Pruning to avoid tree hazards

Brian d'Alessandro came up with an approach..

32 % Fewer emergencies on blocks pruned properly!

Case StudiesCreated a machine learning algorithm that uses satellite images to identify villages in need

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Some of the poorest in rural Kenya and Uganda were identified and given money via mobile phone transfers—with no strings attached.

Previously, manual data collection identified the neediest villages, but research showed a strong correlation between a village’s relative wealth and the roof material (iron versus thatch).

DataKind volunteers developed an algorithm that uses satellite images to identify villages in need. The resulting write-up was selected as the Best Social Good Paper at KDD 2014.


Bangalore is facing a serious groundwater depletion problem

Only 19% of the city has a BWSSB connection***

City plans to curtail new digging, all existing wells need a registration, **all new wells need a permission and there cant be more than a borewell per residency

Borewells are increasingly becoming the last optionWith an official estimate of 1,75,000 the actual number might stand thrice as much

Is this is a Groundwater problem or a Water management problem?

**Karnataka Groundwater Act of 2011***Biome

Groundwater problem• What’s the true

groundwater picture of Bangalore?

• Does the new law as plain a policy enforcement really address the problem?

• How to assess some of the alternatives such as rain water harvesting?

Water management problem

• Assess the water problem

• Get a true “water footprint” of Bangalore

• Bring in the progression of the problem considering the population growth, industrialization and the ever growing city limits

Its both• Manage water

availability through better groundwater usage and policy

75% of the elderly in the city are facing abuse*

Majorly from within family

Most of the intra familial abuse is due to property disputes

64% of the victims are aware of police helpline but only 12% ever approached

Men outnumbered women in the helpline callers

Abuse while dealing with building owners/ tenants is major too

Economic and Emotional dependence on the abuser, changing ethos are the primary changes according to the victims

How can more data and analysis help?Assess if the issues are specific to different sections of the elderly? Analyze the abuse cases which go unreported, attribute reasons for not being reportedAre these reasons familial, social or are they more systemic/ procedural?

*HelpAge India Survey, June 2014

SCOPEMARSHA

LLSOLVE

SUGGEST

ENGAGE

DataKindBLRHow we Engage

How We Work

We form teams to collect,analyze, and visualize datato enable better decision-making, leading to greaterimpact

We translate and ensureeveryone is working towardthe same objective

We recognize that workingwith data requires deepsensitivity and are open andtransparent in everything wedo.

We bridge the gap betweendisparate communities sothey can go farther togetherthan they could apart.

We demystify data scienceand big data so that it isaccessible, fun, and useful for all.

We create solutions that can be shared across the sector so all can benefit.


Foster collaborations between the data science and social sector communities

Allow mission driven organizations to get consultation on their problems in an easy and fun environment

Share the latest findings and thinking around data science for social good with the community


Core Programs

Meet-Ups

are regular get togethers organized by local chapters and community members interested in using data science for the benefit of humanity

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Jumpstart thinking about how a mission-driven organization can use data to tackle a challenge or question

Enable participants to ask questions, make suggestions, and, when possible, provide concrete help in thinking through data problems

Allow mission-driven organizations to clarify their problem statements


Core Programs

Project Accelerators

bring the data science community together with mission-

driven organizations in brainstorming sessions to take the

first steps towards a successful data science project

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Forge connections between talented data scientists and visionary social impact leaders

Allow mission-driven organizations to experience the power of their data in just 48 hours

Promote learning about new skills and methods in data science

Core Programs

DataDives

bring the data science community together with mission-

driven organizations to collaborate on data solutions to tough problems over the course of a weekend


Core Programs

The DataCorps

is a specialized team of pro bono data scientists who

work on 6-9 month, in-depth projects for mission-

driven organizations, including governments, foundations, and nonprofits.

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•

•

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Connects data scientists, social organizations and knowledge experts to tackle problems together

Helps mission-driven organizations become more effective and efficient through data science

Delivers analyses, visualizations, and findings to organizations so they can better fulfill their missions

Enhances data literacy in organizations


http://www.datakind.org/howitworks/

How to Contact Us

https://www.facebook.com/DataKindBLR

@DataKindBLR

http://www.meetup.com/DataKind-Bangalore/

[email protected]




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